Chris Riccomini on the History of Apache Kafka and Stream Processing

Chris Riccomini on the History of Apache Kafka and Stream Processing

It’s a problem endemic to the tech world that we are always focused on what’s coming next, that we often forget to look at where we’ve been. Chris Riccomini, who was there at LinkedIn when Apache Kafka® was born, tells us how Kafka and the stream processing framework Samza came about, and also what he’s doing these days at WePay—building systems that use Kafka as a primary datastore. EPISODE LINKS When It Absolutely, Positively, Has to be There: Reliability Guarantees in KafkaSo, You Want to...

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How to Build a Reactive Event Streaming App - Coding in Motion

How to Build a Reactive Event Streaming App - Coding in Motion

How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programm...

20 Sep 20221min

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Th...

15 Sep 202234min

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

How do you analyze Reddit sentiment with Apache Kafka® and microservices? Bringing the fresh perspective of someone who is both new to Kafka and the industry, Shufan Liu, nascent Developer Advocate at...

8 Sep 202235min

Capacity Planning Your Apache Kafka Cluster

Capacity Planning Your Apache Kafka Cluster

How do you plan Apache Kafka® capacity and Kafka Streams sizing for optimal performance? When Jason Bell (Principal Engineer, Dataworks and founder of Synthetica Data), begins to plan a Kafka cluster,...

30 Aug 20221h 1min

Streaming Real-Time Sporting Analytics for World Table Tennis

Streaming Real-Time Sporting Analytics for World Table Tennis

Reimagining a data architecture to provide real-time data flow for sporting events can be complicated, especially for organizations with as much data as World Table Tennis (WTT). Vatsan Rama (Director...

25 Aug 202234min

Real-Time Event Distribution with Data Mesh

Real-Time Event Distribution with Data Mesh

Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refact...

18 Aug 202248min

Apache Kafka Security Best Practices

Apache Kafka Security Best Practices

Security is a primary consideration for any system design, and Apache Kafka® is no exception. Out of the box, Kafka has relatively little security enabled. Rajini Sivaram (Principal Engineer, Confluen...

11 Aug 202239min

What Could Go Wrong with a Kafka JDBC Connector?

What Could Go Wrong with a Kafka JDBC Connector?

Java Database Connectivity (JDBC) is the Java API used to connect to a database. As one of the most popular Kafka connectors, it's important to prevent issues with your integrations. In this episode...

4 Aug 202241min

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